
Student presentation rehearsal mirror
Evidence-focused feedback rather than personality scores.
- For
- Higher-education communication tutors
- Solves
- Students cannot see where explanations become unclear.
- Delivers
- Tutor-reviewed rehearsal feedback
- Built in
- about 3 weeks of creation time, MVP in 3 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For higher-education communication tutors, turn consented practice transcripts and rubrics into tutor-reviewed rehearsal feedback.
- Map argument structure.
- Flag unsupported transitions.
- Draft audience questions.
- Link proposed outputs to original source records.
- Capture reviewer corrections and approval.
- Export a versioned tutor-reviewed rehearsal feedback.
What goes in, what comes out
- Consented practice transcripts
- Rubrics
AI drafts, people review. Interactive practice or facilitated workshop platform.
- Tutor-reviewed rehearsal feedback
How it works
The workflow
- InStart with
Consented practice transcripts and rubrics
- 1
The buyer creates a project
- 2
Supplies consented practice transcripts and rubrics
- 3
Confirms scope and access
- OutFinish with
Tutor-reviewed rehearsal feedback
AI does the heavy lifting, people stay in charge
AI assists these bounded tasks: map argument structure; flag unsupported transitions; draft audience questions. Use only consented practice transcripts and rubrics and preserve uncertainty in tutor-reviewed rehearsal feedback. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
What your team sees
Key screens: Brief and sources, Student presentation rehearsal mirror, Review and delivery. Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. Open with brief and sources; move into student presentation rehearsal mirror for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Participant-controlled session sharing, scenario versions, facilitator tools, replay history, rubric calibration, practice goals and exportable feedback. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
Learning resources, course portals and educator review processes. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. Begin with uploads and exports of consented practice transcripts and rubrics. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
3 daysOne buyer segment, one recurring use case; first modules: map argument structure; flag unsupported transitions. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
4 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
8 daysSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will higher-education communication tutors use it to solve "students cannot see where explanations become unclear"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track audience comprehension improvement; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using consented practice transcripts and rubrics. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: map argument structure; flag unsupported transitions. Support the third task through an assisted review queue: draft audience questions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of tutor-reviewed rehearsal feedback. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
After the MVP. After paying customers repeatedly accept tutor-reviewed rehearsal feedback, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned tutor-reviewed rehearsal feedback. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One organization, one defined input format and one representative pilot batch using consented practice transcripts and rubrics. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
What the build depends on. Scenario state management, coherent dialogue, explicit rubrics, session replay and reviewer feedback. Voice interaction adds latency and audio QA requirements. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using consented practice transcripts and rubrics. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: map argument structure; flag unsupported transitions. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$44,000about 3 weeks of creation time · start with the MVP from $13,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $50–$110 | $80–$170 |
| Full productabout 50 customers | $110–$210 | $420–$840 | $530–$1,050 |
Run it or resell it
For your own team
Higher-education communication tutors run it inside the business: consented practice transcripts and rubrics in, tutor-reviewed rehearsal feedback out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#8c9127 - accent
#5460c9 - surface
#f0f1e4 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Encouraging, patient, precise
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 300-1,500 for a facilitated team pilot, or USD 20-80 per participant monthly for self-serve practice with limited usage. Bespoke workshops and expert coaching are separately scoped. Pricing is hypothetical. For this buyer, package the first sale around prepare a sample tutor-reviewed rehearsal feedback from a small authorized set of consented practice transcripts and rubrics and the defined tutor-reviewed rehearsal feedback. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Evidence-focused feedback rather than personality scores. Demonstrate the result with prepare a sample tutor-reviewed rehearsal feedback from a small authorized set of consented practice transcripts and rubrics for higher-education communication tutors. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Educator associations and specialist training providers
Lead magnet
Prepare a sample tutor-reviewed rehearsal feedback from a small authorized set of consented practice transcripts and rubrics
The first 30 days
- Week 1: interview five prospective buyers from higher-education communication tutors and inspect how they handle students cannot see where explanations become unclear.
- Week 2: prepare prepare a sample tutor-reviewed rehearsal feedback from a small authorized set of consented practice transcripts and rubrics using authorized or synthetic material.
- Week 3: share the demonstration through educator associations and specialist training providers and seek one bounded paid pilot.
- Week 4: measure audience comprehension improvement; reviewer correction minutes; buyer acceptance and repeat purchase, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare a sample tutor-reviewed rehearsal feedback from a small authorized set of consented practice transcripts and rubrics and deliver tutor-reviewed rehearsal feedback. Compare audience comprehension improvement; reviewer correction minutes; buyer acceptance and repeat purchase with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
Success metrics
Audience comprehension improvement; reviewer correction minutes; buyer acceptance and repeat purchase
Retention and expansion
Build repeat use around tutor-reviewed rehearsal feedback. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on audience comprehension improvement; reviewer correction minutes; buyer acceptance and repeat purchase. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
Realistic domain scenarios, qualified facilitator relationships and reviewed examples of useful feedback and successful practice. For this concept, accumulate permissioned examples and reviewer corrections around evidence-focused feedback rather than personality scores. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Human coaching, workshops, static courses, roleplay with colleagues and general chat tools. Position this concept around evidence-focused feedback rather than personality scores. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Main delivery costs
Scenario design, voice processing if used, model interaction length, facilitator review, rubric calibration and learner support. Initial validation additionally budgets for representative sample preparation, interviews with higher-education communication tutors, and buyer-side review of tutor-reviewed rehearsal feedback. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. One organization, one defined input format and one representative pilot batch using consented practice transcripts and rubrics. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.